The document discloses that Mistral Medium 3.5 supports a context window of 256,000 tokens per API call.
This analysis describes what Mistral AI's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology
The 256k context window specification is an operationally significant technical parameter that determines the maximum input size per request, directly affecting how the model may be used for long-document processing, multi-turn conversation, and agentic workflows.
The updated model card reflects new pricing for mistral-medium-3-5: the token cost has increased from €1.25 per million tokens (€6.4 per million on a higher tier) to $1.5 per million tokens ($7.5 on a higher tier). The pricing currency has shifted from EUR to USD as the primary denomination. Organizations using this model through Mistral AI's API will encounter higher per-token costs at current exchange rates. No opt-out mechanism is available; the new pricing applies to all API consumption of this model.
View change record →Under this specification, API users may submit inputs and conversation histories of up to 256,000 tokens per request, which is relevant for document analysis, extended agentic task execution, and long-context coding use cases.
Cross-platform context
See how other platforms handle 256k Context Window and similar clauses.
Compare across platforms →"Context i 256kExcerpt from Mistral AI's Mistral Medium 3.5 Model Card
(1) REGULATORY LANDSCAPE: The context window specification does not directly engage a specific regulatory framework, but large context windows that enable processing of extensive personal data inputs may engage GDPR data minimization principles and CCPA …
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The 256k context window specification is an operationally significant technical parameter that determines the maximum input size per request, directly affecting how the model may be used for long-document processing, multi-turn conversation, and agentic workflows.
Under this specification, API users may submit inputs and conversation histories of up to 256,000 tokens per request, which is relevant for document analysis, extended agentic task execution, and long-context coding use cases.
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